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SPSS Data Cleaning Assistant
作者
zihaowyt5525-max
· GitHub ↗
· v1.0.0
· MIT-0
191
总下载
1
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install spss-data-cleaning
功能描述
提供SPSS数据缺失值检测与处理、异常值识别、数据类型诊断、变量重编码、重复值处理和验证，生成清洗报告。
安全使用建议
This skill appears coherent for SPSS/CSV/Excel data cleaning. Before installing or running: (1) Test on non-sensitive sample data first; (2) Review any generated Python validation/cleaning scripts before executing them; (3) Back up original data; (4) Be aware that running the suggested pip install will download packages from PyPI, so perform installs in an isolated virtual environment if possible; (5) Do not upload highly sensitive personal data unless you trust the runtime and storage; (6) Confirm that the agent does not transmit your data to external endpoints (SKILL.md shows no external posting, but verify runtime telemetry/policies).
功能分析
Type: OpenClaw Skill
Name: spss-data-cleaning
Version: 1.0.0
The skill bundle describes a legitimate SPSS data cleaning assistant designed to handle missing values, outliers, and data transformations using standard Python libraries like pandas and pyreadstat. No malicious code, data exfiltration, or prompt-injection attacks were identified in SKILL.md or _meta.json.
能力评估
Purpose & Capability
Name/description match the requested capabilities: missing-value handling, outlier detection, type conversion, recoding, validation and report generation. Declared Python libraries (pandas, pyreadstat, openpyxl, scipy, statsmodels) are appropriate for these tasks; no unrelated env vars, binaries, or config paths are requested.
Instruction Scope
SKILL.md confines actions to reading user-uploaded data files, proposing a cleaning plan, generating/ running Python cleaning/validation scripts, and producing output files and a Markdown report. This is within scope, but note the agent is expected to generate and may execute arbitrary Python scripts for validation/cleaning — users should review generated code before execution and avoid uploading highly sensitive PII unless the runtime environment is trusted.
Install Mechanism
There is no install spec (instruction-only), which is lower risk. The README suggests pip install of common packages from PyPI — expected for Python-based data cleaning but remember installing packages will fetch remote code from PyPI and may change the environment.
Credentials
The skill requests no environment variables, credentials, or config paths. Requested resources (file uploads and Python deps) are proportionate to the stated functionality.
Persistence & Privilege
always is false and the skill does not request persistent/system-wide privileges or attempt to modify other skills. Autonomous invocation is allowed (platform default) but not combined with other concerning privileges.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install spss-data-cleaning - 安装完成后，直接呼叫该 Skill 的名称或使用
/spss-data-cleaning触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
SPSS Data Cleaning Assistant 1.0.0
- Initial release of the SPSS数据清洗助手 (SPSS Data Cleaning Assistant).
- Supports missing value detection & handling, outlier identification, data type conversion, variable recoding, duplicate detection, data validation, and cleaning reports.
- Accepts SPSS (.sav), CSV, Excel (.xlsx/.xls), and TSV file uploads.
- Generates SPSS-formatted cleaned data, CSV exports, and a detailed cleaning report in Markdown.
- Provides a stepwise workflow from data upload and diagnosis to cleaning, validation, and export.
元数据
常见问题
SPSS Data Cleaning Assistant 是什么？
提供SPSS数据缺失值检测与处理、异常值识别、数据类型诊断、变量重编码、重复值处理和验证，生成清洗报告。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 191 次。
如何安装 SPSS Data Cleaning Assistant？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install spss-data-cleaning」即可一键安装，无需额外配置。
SPSS Data Cleaning Assistant 是免费的吗？
是的，SPSS Data Cleaning Assistant 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
SPSS Data Cleaning Assistant 支持哪些平台？
SPSS Data Cleaning Assistant 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 SPSS Data Cleaning Assistant？
由 zihaowyt5525-max（@zihaowyt5525-max）开发并维护，当前版本 v1.0.0。
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